| title: Code Comment Classification Api | |
| emoji: 📚 | |
| colorFrom: indigo | |
| colorTo: yellow | |
| sdk: docker | |
| pinned: false | |
| license: mit | |
| short_description: Multi-label classification of code-comment sentences | |
| ## Overview | |
| This repository implements an end-to-end pipeline to classify comment sentences into language-specific categories and to aggregate results at file/PR level so reviewers can focus on rationale, usage notes, deprecations, examples, and other high-value signals. | |
| The project targets and aims to surpass the NLBSE’26 baselines, providing reproducible training, evaluation, and inference. | |
| Core choices: | |
| - Task: multi-label text classification at sentence level | |
| - Scope: three languages with per-language models (Java, Python, Pharo) | |
| - Usage: batch predictions on submissions (pre-review), summaries per file/PR | |
| - Human-in-the-loop: reviewer confirmations/overrides feed threshold recalibration |